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电力信息网络切片安全部署算法研究

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当前,对于网络切片的部署方法易受到网络安全评价指标的不可共度性的影响,导致部署后网络切片平均比特丢失率较高.针对这一问题,设计了基于安全性能感知的电力信息网络切片安全部署算法.依据底层物理网络部署模型,设计网络切片资源分配的约束条件.为平抑评价指标的不可共度性,加权处理安全等级决策矩阵.对网络安全等级进行排序.基于安全性能感知原理,以网络性能影响因子最小和网络切片部署成本最低为目标,构建安全部署模型,并采用离散粒子群算法求解模型,从而得到最优部署方案.试验结果表明,采用该算法后,网络切片平均比特丢失率较低,网络攻击后资源利用率也始终保持在60%以上.该算法可有效保证网络安全.
Research on Power Information Network Slicing Security Deployment Algorithm
Currently,deployment method for network slicing is susceptible to the influence of the incommensurability of network security evaluation indexes,resulting in a high average bit loss rate of network slicing after deployment.Aiming at this problem,a security deployment algorithm for power information network slicing based on security performance perception is designed.Based on the underlying physical network deployment model,the constraints of network slicing resource allocation are designed.To smooth out the incommensurability of the evaluation indexes,the security level decision matrix is weighted.The network security level is ranked.Based on the principle of security performance perception,the security deployment model is constructed with the objectives of minimizing the network performance impact factor and minimizing the network slicing deployment cost,and the discrete particle swarm algorithm is used to solve the model to obtain the optimal deployment scheme.The experimental results show that after utilizing the algorithm,the average bit loss rate of network slicing is low,and the resource utilization rate after network attack is always kept above 60%.The algorithm can effectively ensure network security.

Security performance awarenessPower informationNetwork slicingSecurity deploymentSecurity level decision matrixIncommensurabilityDiscrete particle swarm algorithm

赵彦博、邹德昊、宛慧、孙蒙、刘宇丽、刘昌新

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内蒙古电力(集团)有限责任公司呼和浩特供电分公司,内蒙古呼和浩特 010020

安全性能感知 电力信息 网络切片 安全部署 安全等级决策矩阵 不可共度性 离散粒子群算法

2024

自动化仪表
中国仪器仪表学会 上海工业自动化仪表研究院

自动化仪表

CSTPCD
影响因子:0.655
ISSN:1000-0380
年,卷(期):2024.45(12)